Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations provide readOnlyHint=true, and the description adds that the tool 'converts and returns' a file, confirming no mutation. It also discloses a behavioral cost ('1 point per call'), which is not in the annotations. No contradiction exists. It doesn't detail edge cases but covers the key context beyond annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short and front-loaded with the English purpose, followed by Korean details. It includes a useful cost note and input format examples. The bilingual repetition is slightly redundant, but it's compact and each sentence adds some value, so a 4 is appropriate.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 2-parameter conversion tool, the description covers the main points: input formats, return type (Excel file), and cost. No output schema exists, but the description does explain the output. It could mention optional sheet_name behavior or error handling, but these are minor gaps given the tool's simplicity.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so a baseline of 3 applies. The description adds a JSON example and reiterates the supported data_list formats, but it omits the constraint that 2D arrays must have equal column counts, which the schema includes. Thus, the description does not significantly enhance the parameter meaning beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's function: converting JSON data into an Excel (XLSX) file. This specific verb+resource combination ('Convert JSON data...') distinguishes it from sibling conversion tools like pdf_to_docx or html_to_pdf, which target different formats. The bilingual phrasing reinforces the core purpose.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies the use case: when JSON data needs to be converted to an Excel file. It provides specific input format constraints (object array or 2D array), which helps the agent decide if the tool is appropriate. However, it does not explicitly mention alternatives or exclusion conditions, so it's not fully aligned with a 5.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.